• DocumentCode
    2611894
  • Title

    Parallel random sampling with multiprocessor system

  • Author

    Lo, K.C. ; Purvis, A.

  • Author_Institution
    Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    1979
  • Abstract
    An anti-alias sampling sequence for spectral estimation can be formed by interlacing several additive random sampling sequences. This scheme exploits the trigonometrical symmetry to reduce up to 87% of the multiplications required in computing the first band of frequency components. The whole process, from sampling to computation, can be implemented by a multiprocessor system. With a variable threshold, a relatively weak signal can also be recovered
  • Keywords
    antialiasing; frequency estimation; parallel processing; signal detection; spectral analysis; additive random sampling sequences; anti-alias sampling sequence; interlacing; multiprocessor system; spectral estimation; trigonometrical symmetry; variable threshold,; weak signal; Additive noise; Discrete Fourier transforms; Fast Fourier transforms; Frequency; Instruments; Multiprocessing systems; Noise level; Sampling methods; Signal processing; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.394140
  • Filename
    394140